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The Portfolio Heuristic Optimisation System (PHOS)

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Abstract

The efficient representation of the accurate corporate value on the stock price is vital to investors and fund managers that desire to optimise the net worth of the overall stock portfolio. Although the efficient market hypothesis sets limits, the practice of markets is an ideal place of manipulation, and corruption on prices. The accounting statements, evaluated by support vector machines and the SVM hybrids under genetic algorithms provide superiority in portfolio selection, on condition. A specific genetic hybrid SVM outperformed all examined SVM models being a powerful tool in financial analysis. We also offer the integrated model of portfolio selection, PHOS.

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Authors and Affiliations

  1. Department of Business Administration, University of Macedonia, Egnatias 156, 540 06, Thessaloniki, Greece

    N. Loukeris & I. Eleftheriadis

  2. Department of Accounting and Finance, University of Macedonia, Egnatias 156, 540 06, Thessaloniki, Greece

    E. Livanis

Authors
  1. N. Loukeris
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  2. I. Eleftheriadis
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  3. E. Livanis
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Correspondence to N. Loukeris.

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Loukeris, N., Eleftheriadis, I. & Livanis, E. The Portfolio Heuristic Optimisation System (PHOS). Comput Econ 48, 627–648 (2016). https://doi.org/10.1007/s10614-015-9552-1

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  • DOI: https://doi.org/10.1007/s10614-015-9552-1

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